review

Review specified code files and report issues with fixes and tests.

8|Updated Nov 9, 2024
One-click install
npx skills add https://github.com/photostructure/fs-metadata --skill review-photostructure
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: review
Source: https://github.com/photostructure/fs-metadata/tree/main/.agents/skills/review
Command: npx skills add https://github.com/photostructure/fs-metadata --skill review-photostructure

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps reviewers quickly identify potential issues and improvement opportunities in code when asked to review specific files, functions, or sections, guiding teams to safer, cleaner code.

Core Features & Use Cases

  • Automated code quality review: Scans for common bugs, anti-patterns, and security concerns across languages.
  • Targeted analysis: Focuses on the specified files, functions, or code blocks with context-providing notes.
  • Actionable recommendations: Returns concrete fixes, refactors, and test suggestions to resolve issues.

Quick Start

Review the specified file or code snippet and provide a concise, prioritized report with concrete fixes.

Frequently Asked Questions about review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I review code for security vulnerabilities and anti-patterns?

Code review for security vulnerabilities involves scanning specified files or functions to identify common bugs, anti-patterns, and security concerns, returning actionable feedback with concrete fixes and risk assessments.

What is the best way to refactor code and apply best practices during a review?

Refactoring code and applying best practices during a review requires targeted analysis of exact code blocks, delivering actionable recommendations, concrete refactors, and suggested tests aligned with project conventions.

Can I get static analysis and bug detection for specific code sections?

Yes, static analysis and bug detection for specific code sections is possible by providing exact files or functions, focusing the analysis on those targets to deliver concise, context-rich findings and actionable feedback.

Does automated code review work across various programming languages and project contexts?

Automated code review works across various languages and project contexts by focusing on the exact targets provided, identifying potential issues and improvement opportunities to guide teams toward safer, cleaner code.

How do I ensure code review feedback is actionable and aligned with project conventions?

Ensuring code review feedback is actionable and aligned with project conventions requires the review process to provide concrete fixes, risk assessments, and suggested tests tailored to the specified files and project context.